Computer Vision Course
Master computer vision for PCB inspection. Learn imaging, datasets, YOLO and U-Net–based defect detection, deployment, and monitoring to build robust, real-time quality control systems for modern electronics manufacturing.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Computer Vision Course shows you how to design robust PCB inspection systems from end to end. You will learn image acquisition, optics, lighting, preprocessing, dataset design, labeling, augmentation, board detection, defect segmentation, and post-processing. The course also covers deployment, monitoring, performance evaluation, and continuous improvement so you can build accurate, reliable visual inspection pipelines fast.
Elevify advantages
Develop skills
- Design PCB vision datasets: label, augment, and balance real and synthetic data.
- Implement robust board detection: classical CV plus YOLO-based localization.
- Build defect detection pipelines: small-part detection, segmentation, and rules.
- Optimize and deploy models: quantization, edge inference, and real-time tuning.
- Operate production vision systems: monitor drift, KPIs, and safe rollbacks.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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